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Authors: Yves Martin 1 and Michael Thielscher 2

Affiliations: 1 SAP Research CEC Dresden, Germany ; 2 Technische Universität Dresden, Germany

Keyword(s): Knowledge representation and reasoning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Representation and Reasoning ; Symbolic Systems

Abstract: According to the paradigm of Cognitive Robotics (Reiter, 2001a), intelligent, autonomous agents interacting with an incompletely known world need to reason logically about the effects of their actions and sensor information they acquire over time. In realistic settings, both the effect of actions and sensor data are subject to errors. A cognitive agent can cope with these uncertainties by maintaining probabilistic beliefs about the state of world. In this paper, we show a formalism to represent probabilistic beliefs about states of the world and how these beliefs change in the course of actions. Additionally, we propose an extension to a logic programming framework, the agent programming language FLUX, to actually infer this probabilistic knowledge for agents. Using associated Bayesian networks allows the agents to maintain a single and compact probabilistic knowledge state throughout the execution of an action sequence.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Martin, Y. and Thielscher, M. (2010). INTEGRATING REASONING ABOUT ACTIONS AND BAYESIAN NETWORKS. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-674-021-4; ISSN 2184-433X, SciTePress, pages 298-304. DOI: 10.5220/0002724602980304

@conference{icaart10,
author={Yves Martin. and Michael Thielscher.},
title={INTEGRATING REASONING ABOUT ACTIONS AND BAYESIAN NETWORKS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2010},
pages={298-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002724602980304},
isbn={978-989-674-021-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - INTEGRATING REASONING ABOUT ACTIONS AND BAYESIAN NETWORKS
SN - 978-989-674-021-4
IS - 2184-433X
AU - Martin, Y.
AU - Thielscher, M.
PY - 2010
SP - 298
EP - 304
DO - 10.5220/0002724602980304
PB - SciTePress

- Science and Technology Publications, Lda.
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